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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 1418
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    INDEX
    Explanations

    financial values and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to voting or rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.72
    jen
    -0.67
    unal
    -0.66
    stakes
    -0.63
     privatization
    -0.62
    natureconservancy
    -0.60
    termin
    -0.59
    idding
    -0.58
    buck
    -0.57
    enegger
    -0.57
    POSITIVE LOGITS
    orry
    0.60
     Vict
    0.58
    ibli
    0.57
    Org
    0.57
    oba
    0.56
    в
    0.56
     img
    0.55
     Optical
    0.55
     Highlights
    0.55
    Books
    0.54
    Activations Density 0.106%

    No Known Activations